In today’s blog post, we are going to implement our first Convolutional Neural Network (CNN) — LeNet — using Python and the Keras deep learning package. The LeNet architecture was first introduced by LeCun et al. in their 1998 paper, Gradient-Based Learning Applied to Document Recognition. As the name of the paper suggests, the authors’ implementation of LeNet was used […]
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Alight, so you have the NVIDIA CUDA Toolkit and cuDNN library installed on your GPU-enabled system. What next? Let’s get OpenCV installed with CUDA support as well. While OpenCV itself doesn’t play a critical role in deep learning, it is used by other deep learning libraries such as Caffe, specifically in “utility” programs (such as building a dataset […]
If you’re serious about doing any type of deep learning, you should be utilizing your GPU rather than your CPU. And the more GPUs you have, the better off you are. If you already have an NVIDIA supported GPU, then the next logical step is to install two important libraries: The NVIDIA CUDA Toolkit: A development environment for building […]
So you’re interested in deep learning and Convolutional Neural Networks. But where do you start? Which library do you use? There are just so many! Inside this blog post, I detail 9 of my favorite Python deep learning libraries. This list is by no means exhaustive, it’s simply a list of libraries that I’ve used in my computer vision […]
Are you feeling a bit overwhelmed trying to learn OpenCV? If so, don’t worry! You don’t need to read everything about computer vision and OpenCV. Instead, what you really need is an expertly curated list of OpenCV 3 and OpenCV 4 tutorials, guides, and resources. And that’s exactly why I have started to collect the […]